import PySimpleGUI as sg
import datetime

"""
    Copyright 2023 PySimpleSoft, Inc. and/or its licensors. All rights reserved.

    Redistribution, modification, or any other use of PySimpleGUI or any portion thereof is subject to the terms of the PySimpleGUI License Agreement available at https://eula.pysimplegui.com.

    You may not redistribute, modify or otherwise use PySimpleGUI or its contents except pursuant to the PySimpleGUI License Agreement.
"""

sg.SYMBOL_CHECK_SMALL = '✓'     # can remove line if using later PySimpleGUI version that has this symbol defined

menu_sizes_original = ['Large::Large', 'Medium::Medium', 'Small::Small']
menu_sizes = menu_sizes_original
max_digits = 8


def right_click_meny_new_size(window, new_size):
    current_size = window.metadata          # Window's metadata has the subsample value
    menu = window.RightClickMenu            # Dangerous operation... directly accessing the right click menu with assumption same for entire window
    menu_sizes[current_size - 1] = menu_sizes[current_size - 1][1:]                 # Remove checkmark from previous item
    menu_sizes[new_size - 1] = sg.SYMBOL_CHECK_SMALL + menu_sizes[new_size - 1]     # Add checkmark to new item
    sg.user_settings_set_entry('-subsample-', new_size)
    [window[('-IMAGE-', i)].set_right_click_menu(menu) for i in range(max_digits)]  # Set right click menu for all image elements
    window.metadata = new_size              # Store the new subsample value as the Window's metadata

def main():

    base64_digits = {'0':i0, '1':i1, '2':i2, '3':i3, '4':i4, '5':i5, '6':i6, '7':i7, '8':i8, '9':i9, ':':colon, ' ':blank, '.':dot}

    subsample = sg.user_settings_get_entry('-subsample-', 2)
    location =sg.user_settings_get_entry('-location-', (None, None))
    alpha = sg.user_settings_get_entry('-alpha-', 0.9)
    menu_sizes[subsample-1] = sg.SYMBOL_CHECK_SMALL + menu_sizes[subsample-1]
    right_click_menu = [[''], ['Version',  'Edit Me', 'Save Location', 'Size', menu_sizes, 'Alpha', [str(x) for x in range(1, 11)], 'Exit', ]]

    layout = [[sg.Image(blank, key=('-IMAGE-', i), p=0, subsample=subsample) for i in range(max_digits)]]

    window = sg.Window('', layout, background_color='black', no_titlebar=True, grab_anywhere=True, right_click_menu=right_click_menu, location=location, keep_on_top=True, enable_close_attempted_event=True, alpha_channel=alpha, metadata=subsample)

    while True:
        event, values = window.read(timeout=300)
        if event in (sg.WIN_CLOSED, 'Exit', sg.WIN_CLOSE_ATTEMPTED_EVENT):
            if event != sg.WIN_CLOSED:
                sg.user_settings_set_entry('-location-', window.current_location())
            break
        # Update the Image Elements with current time
        date = datetime.datetime.now()
        time_string = f'{date:%I}:{date:%M}:{date:%S}'
        subsample = window.metadata
        for i, c in enumerate(time_string):
            window[('-IMAGE-', i)].update(base64_digits[c], subsample=subsample)

        # Process the event
        if event == sg.TIMEOUT_EVENT:       # if a timeout, then do nothing (saves a TINY amount of time not checking all the if statements...)
            pass
        elif event == 'Edit Me':
            sg.execute_editor(__file__)
        elif event.startswith('Version'):
            sg.popup_scrolled(sg.get_versions(), non_blocking=True, keep_on_top=True, grab_anywhere=False, location=window.current_location())
        elif event in [str(x) for x in range(1,11)]:            # Alpha channel selected
            window.set_alpha(int(event)/10)
            sg.user_settings_set_entry('-alpha-', int(event)/10)
        elif event.endswith('Small'):                           # Size changed to Small
            right_click_meny_new_size(window, 3)
        elif event.endswith('Medium'):                          # Size changed to Medium
            right_click_meny_new_size(window, 2)
        elif event.endswith('Large'):                           # Size changed to Large
            right_click_meny_new_size(window, 1)
        elif event == 'Save Location':                          # Gernally not neeeded since save on exit, but may make user feel better
            sg.user_settings_set_entry('-location-', window.current_location())

    window.close()

if __name__ == '__main__':

    i0 = b'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'
    i1 = b'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'
    i2 = b'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    i3 = 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Cur4fToYcqnIOFJjb1NsAnWhSroqq2dRv6Wzs7iHxk7jnNu9PvbM/lsG9gnWiWplnuswRdKESMFmIwUaAJTdu2TTCLREeo9oW+A26+eBcDD23ojg1KEGlE1Dquvm9ytA9aIgAtslOAOoN8rHsSxPMM+OlRuU9v7ZpMfUS9Ol7TNUr7K2UP2spjzHpR3nMPx9ajy3I7VHq44iVPSpoiqjvttptS2O+1lmdNut3S+GQsKjsU3mHV/nc8kkSFD+T5nz/+2uWBVydBT2pFntwV/Pn8fH4+P5+fz8/n5/PO5/8BfvwgqFy+yvAAAAAASUVORK5CYII='
    i4 = 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'
    i5 = 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ZLu8A4uFY/BXpJUbxGeR8wPAAUT3Jkvx2FXRMpu65f5OgdYT7aax93SLt5e4MmWi2hUz7df3u2+L5qUuw/52NcPk2Vu2d7kLbr8F6alLy2uYddUD3ZPOg7sT1TdOgp0F866iuZRvE4FXhCYhMUUVVNW8+PQ3SoQow8MQ7Tvtijo5A4mEdT1CXiol9b3pkdfC6N9itPb3ngydx7/79fhMRfysJLheIIga8w8c85+KkC+breT90x8c8v/0zfYkwcqTd+8YP/ByGpCXr/q16JAAAAAElFTkSuQmCC'
    i6 = 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'
    i7 = b'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'
    i8 = 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    i9 = 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    blank = b'iVBORw0KGgoAAAANSUhEUgAAAHAAAABwBAMAAAA0zul4AAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJUExURQAAAAsLCwEBASarxPMAAAAJcEhZcwAACxEAAAsRAX9kX5EAAAAnSURBVFjD7c0hAQAACAOwV6AB/VOiSIDAbAUWAAC4qn5IAQAAYCUD5JkAMsfpUwIAAAAASUVORK5CYII='
    colon = b'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'
    dot = b'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'
    main()